updates
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train.py
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train.py
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@ -198,7 +198,8 @@ def train(cfg,
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# Start training
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model.hyp = hyp # attach hyperparameters to model
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# model.class_weights = labels_to_class_weights(dataset.labels, nc).to(device) # attach class weights
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if dataset.image_weights:
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model.class_weights = labels_to_class_weights(dataset.labels, nc).to(device) # attach class weights
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model_info(model, report='summary') # 'full' or 'summary'
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nb = len(dataloader)
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maps = np.zeros(nc) # mAP per class
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